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Databricks Certified Associate Developer for Apache Spark 3.5 – Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 31 Topic 4 Discussion

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Databricks Certified Associate Developer for Apache Spark 3.5 – Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 31 Topic 4 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 4 Question 31 Discussion:
Question #: 31
Topic #: 4

A DataFrame df has columns name, age, and salary. The developer needs to sort the DataFrame by age in ascending order and salary in descending order.

Which code snippet meets the requirement of the developer?
A.

df.orderBy(col("age").asc(), col("salary").asc()).show()

B.

df.sort("age", "salary", ascending=[True, True]).show()

C.

df.sort("age", "salary", ascending=[False, True]).show()

D.

df.orderBy("age", "salary", ascending=[True, False]).show()

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Actual exam question for Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 exam by Zyra84599 at Oct 20, 2025, 10:23:45 AM

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